SGI UV 300 was designed to address the computational and data access challenges facing large business and technical computing environments by overcoming the limitations associated with traditional High Performance Computing (HPC) clusters. A growing number of enterprise and technical computing applications require the ability to process and analyze extremely large data sets, requiring large numbers [...]
SGI UV 300 was designed to address the computational and data access challenges facing large business and technical computing environments by overcoming the limitations associated with traditional High Performance Computing (HPC) clusters. A growing number of enterprise and technical computing applications require the ability to process and analyze extremely large data sets, requiring large numbers of processors and very large amounts of memory. Many of these applications can benefit enormously if a large data set or database can be placed entirely into system memory versus residing on disk, or even FLASH storage. This paper outlines methods employed by SGI to deliver RAS for the SGI UV 300 and enable continuous operation of high performance in-memory computing for data-intensive workloads.
See more posts from SGI and other vendors from Oracle OpenWorld 2016 in San Francisco.